How to use Splunk Machine Learning toolkit for anomaly detection. There is a use case where we want machine learning to identify the thresholds dynamically based on anomaly detection.
These should give you what you need:
”Splunk Machine Learning toolkit” sample data uses data model（CIM) fields.
For now, how about imitating a sample with an actual data model?
I didn't get it, could you please elaborate.
Have you used "Density Function" algorithm for anomaly detection?
The “DensityFunction” algorithm is not used.
Is it an algorithm question? Or is it a question of how to use MLTK?
Is it a case that does not exist in the MLTK sample use case?